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Experiments in synonymy: weakly supervised term matching to concepts

dc.contributor.authorGénéreux, Michel
dc.contributor.authorMendes, Amália
dc.contributor.authorHamon, Thierry
dc.date.accessioned2019-03-11T11:53:19Z
dc.date.available2019-03-11T11:53:19Z
dc.date.issued2013
dc.description.abstractWe describe experiments using distributional semantics to extract and map simple terms from a corpus of genomics in Portuguese. A list of salient terms is first extracted from the corpus and manually verified by a geneticist. We then suggest a list of possible matches for the salient terms among the Unified Medical Language System (UMLS) semantic types and concepts using a Vector Space Model (VSM). Experiments show that salient terms can be extracted efficiently, while mapping them to specific concepts from a large set semantic types proved much more difficult.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGénéreux, M., Mendes, A. & Hamon, T. (2013): “Experiments in synonymy: weakly supervised term matching to concepts”, Proceedings of the 10th International Conference on Terminology and Artificial Intelligence, Paris, 28 - 30 October 2013, pp. 181-184pt_PT
dc.identifier.isbn978-2-9174-9025-9
dc.identifier.urihttp://hdl.handle.net/10451/37410
dc.language.isoengpt_PT
dc.publisherUniversité Parispt_PT
dc.titleExperiments in synonymy: weakly supervised term matching to conceptspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceParispt_PT
oaire.citation.endPage184pt_PT
oaire.citation.startPage181pt_PT
oaire.citation.titleProceedings of the 10th International Conference on Terminology and Artificial Intelligencept_PT
person.familyNameMendes
person.givenNameAmália
person.identifier.ciencia-id4018-7A6F-1873
person.identifier.orcid0000-0001-6815-2674
person.identifier.scopus-author-id14035817100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication94be597b-a42a-42f4-8f1d-822fa454b910
relation.isAuthorOfPublication.latestForDiscovery94be597b-a42a-42f4-8f1d-822fa454b910

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